Machine Learning (ML) MCQs | Page - 65

Q. 641) If there is only a discrete number of possible outcomes called _____.

Q. 642) Some people are using the term ___ instead of prediction only to avoid the weird idea that machine learning is a sort of modern magic.

Q. 643) The term _____ can be freely used, but with the same meaning adopted in physics or system theory.

Q. 644) Common deep learning applications / problems can also be solved using____

Q. 645) what is the function of ‘Unsupervised Learning’?

Q. 646) Which of the following statement(s) can be true post adding a variable in a linear regression model?
1. R-Squared and Adjusted R-squared both increase
2. R-Squared increases and Adjusted R-squared decreases
3. R-Squared decreases and Adjusted R-squared decreases
4. R-Squared decreases and Adjusted R-squared increases

Q. 647) We can also compute the coefficient of linear regression with the help of an analytical method called “Normal Equation”. Which of the following is/are true about “Normal Equation”?
1. We don’t have to choose the learning rate
2. It becomes slow when number of features is very large
3. No need to iterate

Q. 648) Suppose you are building a SVM model on data X. The data X can be error prone which means that you should not trust any specific data point too much. Now think that you want to build a SVM model which has quadratic kernel function of polynomial degree 2 that uses Slack variable C as one of it’s hyper parameter.What would happen when you use very large value of C(C->infinity)?

Q. 649) ______is the most drastic one and should be considered only when the dataset is quite large, the number of missing features is high, and any prediction could be risky.

Q. 650) It's possible to specify if the scaling process must include both mean and standard deviation using the parameters________.